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[转载]【信息技术】【2014.07】交通监控中的车辆跟踪与速度估计

已有 1449 次阅读 2019-3-25 21:36 |系统分类:科研笔记|文章来源:转载


本文为加拿大滑铁卢大学作者:KURTIS NORMAN MCBRIDE)的硕士论文80

 

车辆跟踪是目标检测和跟踪的关键应用之一交通监控在如今这个时代已经变得至关重要目前道路上的车辆数量已经大大增加为了保护驾驶员的安全交通执法部门在全国各地的路段都指定了限速然而不负责任的司机仍然会超过限速因为他们知道自己不太可能被抓到并接收惩罚本文开发了一种能够在视频中检测运动车辆显示行驶速度的系统如果车辆超过允许的速度限制车辆实际速度将显示在视频中的车辆旁边以便交通执法人员能够根据显示的速度采取必要的措施该系统以Matlab/Simulink为仿真平台为阈值滤波和Blob分析提供了综合的工具光流(optical flow)是用来确定运动车辆的图像处理技术采用中值滤波方法去除阈值图像中的椒盐噪声多种形态学技术的组合被用来矫正处理后的图像Blob分析在运动目标周围生成矩形框矩形框的质心用于确定每辆车在给定框架上的位置为了弥补深度感知信息的缺失摄像头的高度和与道路之间的夹角是固定的因此可以确定车辆接近摄像头的速度结果表明该系统能够成功地检测到车辆并显示其速度且显示的速度误差相对较小显示速度设置为每两帧更改一次以便更容易进行观察

 

Vehicle tracking is one of the critical applications of object detection and tracking. Traffic surveillance has become crucial in this day and age where the number of vehicles on the road has risen considerably. To preserve the safety of motorists, traffic law enforcement assign speed limits at different locations throughout the country. However, irresponsible motorists still exceed the speed limit since they know it is unlikely that they will get caught. In this paper, a system is developed which is capable of detecting moving vehicles in a video and display the vehicles speed as it goes. Should a vehicle exceed the allowed speed limit, it will be displayed in the video alongside the vehicle so that traffic law enforcers will be able to take necessary action based on the displayed speed. The system uses Matlab/Simulink as a simulation platform as it provides comprehensive tools for thresholding, filtering and blob analysis. Optical flow was the image processing technique used to determine the moving vehicles. A median filter was used to remove salt and pepper noise from the thresholded image. Combinations of several morphological operations were used to rectify whatever that is left. Blob analysis produces rectangles around the moving objects. The centroid of the rectangle is used to determine the location of each vehicle at a given frame. To make up for the absence of depth perception, the camera's height and angle from the road is fixed so that the rate of which a vehicle approaches the camera can be determined. The results show that the system successfully detects vehicles and displays its speed, though there is a relatively small margin of error for the displayed speed. The displayed speed is set to only change once every couple of frames so that it would be easier to see.

 

 

引言

1.1 车辆跟踪与速度估计简介

1.2 问题描述

1.3 研究目标

1.4 研究内容

相关文献回顾

2.1 案例研究

2.2 噪声滤波

2.3 图像分割

2.4 闭合形态学

研究方法

3.1 整个项目流程图

3.2 软件设计

3.3 RGB转换为强度信息

3.4 光流计算

3.5 噪声过滤

3.6 目标检测与跟踪

3.7 目标速度的计算

3.8 输出视频的目标速度显示

研究结果与讨论

4.1 整个项目的Simulink模型

4.2 速度估计比较

4.3 阴影遮蔽效应

结论

5.1 结论

5.2 未来研究建议 


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